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Field
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collaborative team environment across disciplines and cultures. Experience with software for data analytics is strongly preferred. Comfortable using digital platforms (e.g. Teams, Zoom, shared folders
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that can then be tested quickly in the lab rather than remain computational predictions? Do you also wish to work closely with experimental biologists and gain a solid grasp of how experimental work is
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, without the use of simulation software familiar to process engineers. In this thesis, we aim to: - Propose generative models for other types of cycles, based on existing models. To do this, we could use
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, focus groups, surveys, ethnography, participatory mapping, and document analysis. To examine extreme weather event impact and management from the perspective of residents and stakeholders. The supervisory
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programming (MATLAB/Python) and/or structural analysis software (e.g., OpenSees, ABAQUS) is highly desirable Willingness to participate in experimental testing campaigns and multi-national secondments
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. The researcher will use mixed methods, including data from knowledge tests, attitudinal surveys, and focus groups to investigate how the tools function and how they can be improved. The researcher will also
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title: InSEPSia: Innovative methods for early diagnosis of sepsis based on multiparametric biomarker analysis. Project description: The research involves the search for a diagnostic test for sepsis. Early
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+C). You will extend the existing core-level GW+C implementation in the FHI-aims software package. Currently, this approach is limited to molecules; your task will be to adapt and expand it for
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using statistical software. Prepares reports and presentations based on research findings. Collaborates with team members. Contributes to project discussions. Supports administrative tasks related
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engineering, structural dynamics, basic isolation, finite element modelling. Proficiency and/or interest in programming languages (e.g. MATLAB, Python, R) and software platforms such as OpenSees, ABAQUS, LS